AI FOUNDATION

aExecutor

Say What You Need. The Agent Does The Rest.

Autonomous AI agents that understand natural language commands and execute complex multi-step tasks across the entire Amoza platform. "Replan production for next week considering the material shortage" — aExecutor plans the steps, calls the right products, executes the actions, verifies the results, and reports back. From intent to execution.

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Natural Language
Command Interface
Multi-Step
Complex Task Execution
Cross-Product
Works Across All Pillars
Autonomous
Plan, Execute, Verify
THE PROBLEM

Multi-Step Tasks Are Broken

Complex business tasks that span multiple systems still require manual human coordination.

Manual multi-step processes

Tasks that span 3-5 systems require human coordination

Slow execution

What should take minutes takes hours because of system switching

Knowledge dependency

Only certain experts know how to execute complex workflows

Error-prone handoffs

Data copied between systems introduces errors

No audit trail

Hard to track what was done, when, and why across multiple systems

CORE CAPABILITIES

From Intent to Execution

aExecutor understands, plans, executes, verifies, and reports — all autonomously.

Natural Language Understanding

Intent Recognition
Understand business intent from natural language commands
Context Awareness
Understand the current state of business data and systems
Clarification Dialogue
Ask clarifying questions when the command is ambiguous
Multi-Language
Understand commands in Korean, English, Japanese, and more

Task Planning

Step Decomposition
Break complex tasks into ordered steps across multiple products
Dependency Resolution
Understand which steps must complete before others can start
Risk Assessment
Identify potential issues and suggest safeguards before execution
Plan Preview
Show the execution plan to the user for approval before running

Cross-Product Execution

API Orchestration
Call APIs across aPlanner, aFulfill, aShop, aCare, and all products
Data Retrieval
Gather data from multiple sources to complete the task
Tool Use
Use the right tool for each step (ML models, data queries, system actions)
RAG (Retrieval-Augmented Generation)
Access knowledge bases and documentation to inform decisions

Verification & Reporting

Result Validation
Verify that each step completed successfully
Rollback Capability
Undo actions if verification fails
Execution Report
Detailed report: what was done, when, and results achieved
Audit Trail
Full audit log for compliance and accountability
Learning
Agent improves task execution over time based on feedback
EXAMPLE AGENT TASKS

One Command. Multiple Systems. Done.

See how aExecutor takes a single natural language command and orchestrates complex multi-step tasks.

MAKE

"Replan production for next week considering material shortage in component X"

Steps Executed
Check aStock inventory
Adjust aPlanner schedule
Notify aOps operators
Update aMake ERP
MOVE + DELIGHT

"Our top customer's order is delayed. Fix it."

Steps Executed
Check aTrack status
Find alternative fulfillment via aFulfill
Update aShip carrier
Notify customer via aCare
Log in aInsight
SELL + MOVE

"Run a flash sale on overstocked winter items this weekend"

Steps Executed
Identify overstock via aStock
Create promotion via aPrice
Update aShop
Schedule aSocial campaign
Adjust aFulfill capacity
DELIGHT

"Why did NPS drop last month and what should we do?"

Steps Executed
Query aVoice for sentiment themes
Analyze aInsight segments
Identify journey friction via aCare
Recommend actions via aPersona
PRICING

Choose Your Agent Plan

From departmental automation to enterprise-wide AI agents.

Standard

$30K-$80K/yr
Agent Tasks / Month
Up to 500
Products Accessible
1 pillar
Plan Preview
Approval Workflows
Required
Custom Agents
Support
8x5
Most Popular

Professional

$80K-$200K/yr
Agent Tasks / Month
Up to 5,000
Products Accessible
All pillars
Plan Preview
Approval Workflows
Optional
Custom Agents
Support
16x5

Enterprise

Custom
Agent Tasks / Month
Unlimited
Products Accessible
All + Custom tools
Plan Preview
Approval Workflows
Configurable
Custom Agents
Support
24x7
RESULTS

Proven Impact

"aExecutor changed how our operations team works. Tasks that used to require 3 people and 4 hours — like replanning production after a material shortage — now take one command and 5 minutes. The cross-product execution is the real magic: the agent coordinates between planning, inventory, operations, and ERP seamlessly."

COO, Mid-Size Manufacturer
90%
Time Savings on Multi-Step Tasks
Zero
Cross-System Copy/Paste Errors
5 min
vs. 4 Hours (complex replan)
Full
Audit Trail

Ready to Let AI Execute Your Tasks?

See how aExecutor transforms complex multi-step workflows into simple natural language commands.

Request Demo Technical Docs